rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Forecasting International Migration in Europe: A Bayesian View
  name:
    name part: Bijak, Jakub.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXIV, 316 p. online resource.
  abstract: International migration is becoming an increasingly important element of contemporary demographic dynamics and yet, due to its high volatility, it remains the most unpredictable element of population change. In Europe, population forecasting is especially difficult because good-quality data on migration are lacking. There is a clear need for reliable methods of predicting migration since population forecasts are indispensable for rational decision making in many areas, including labour markets, social security or spatial planning and organisation. In addressing these issues, this book adopts a Bayesian statistical perspective, which allows for a formal incorporation of expert judgement, while describing uncertainty in a coherent and explicit manner. No prior knowledge of Bayesian statistics is assumed. The outcomes are discussed from the point of view of forecast users (decision makers), with the aim to show the relevance and usefulness of the presented methods in practical applications. “This is a great book that represents a step-change in the forecasting of international migration. Jakub Bijak advocates for the use of Bayesian statistics - a natural way to combine subjective prior information with statistical data. The Bayesian framework provides also a natural way to further develop the migration forecasting process that is ultimately aimed at accounting for and reducing the different uncertainties, and that involves cognitive agents with different expertise - migration experts, population forecasters and forecast users - in order to accomplish that aim. The book is a must for everyone interested knowing how migration, especially international, will evolve and respond to changing conditions, events and policies.” <Prof. Frans Willekens, Director of the Netherlands Interdisciplinary Demographic Institute (NIDI), The Hague, and Professor of Population Studies, University of Groningen.
  table of contents: List of tables and figures -- Part I. Introduction -- Part II. Explaining and forecasting migration -- Part III. Examples of Bayesian migration predictions -- Part IV. Perspectives of forecast makers and users -- Part V. Conclusion -- Acknowledgements -- References -- Subject Index -- Index of Names -- Annex A. Data sources and the preparatory work -- Annex B. WinBUGS code used in the presented Bayesian forecasts -- Annex C. Bayesian forecasts of selected migration flows in Europe.
  note: by Jakub Bijak.
  subject:
    topic: Social sciences
  subject:
    topic: Statistics
  subject:
    topic: Emigration and immigration
  subject:
    topic: Demography
  subject:
    topic: Social Sciences
  subject:
    topic: Demography
  subject:
    topic: Migration
  subject:
    topic: Statistical Theory and Methods
  classification: HB848-3697
  classification: 304.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: The Springer Series on Demographic Methods and Population Analysis, 24
  identifier: 9789048188970
  identifier: http://dx.doi.org/10.1007/978-90-481-8897-0
  record info:
    record creation date: 101029
    record change date: 20151120184659.0
    record identifier: 978-90-481-8897-0